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Development of autonomous lane following and collision avoiding robot using image processing

机译:利用图像处理开发自主行车道和防撞机器人

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The proposed robot, as the name suggests has the ability to navigate autonomously in between lanes using a camera as its vision and will also avoid collision in the forward direction with the aid of an Infra Red sensor. All the computations in this research are handled by Atmel Mega644 Microcontroller Unit (MCU). A RC (Radio controlled) car is chosen and modified to suit this needs. The RC car provides all the components and infrastructure necessary for a simple mechanical system, all at a low cost with an easy-to-use interface. Using an IR distance sensor, the car determines when to stop accelerating once a certain distance between a forward object has been breached. Due to the nature of the input peripherals, especially the camera, computations had to be optimized as much as possible in order for the car to be able to react and respond with proper movements in real time. In addition, given the limited computational capacity of this 8-bit MCU (microcontroller unit), our design made use of several computational efficiency strategies as is explained in details in the paper.
机译:所提议的机器人,顾名思义,具有使用摄像机作为视线在车道之间自主导航的能力,并且还将借助红外传感器避免向前碰撞。本研究中的所有计算均由Atmel Mega644微控制器单元(MCU)处理。选择并修改了RC(无线电遥控)汽车以适应这种需求。 RC车提供了简单机械系统所需的所有组件和基础设施,且价格低廉且具有易于使用的界面。借助红外距离传感器,一旦前向物体之间的某个距离被突破,汽车便可以确定何时停止加速。由于输入外围设备(尤其是摄像机)的性质,必须尽可能优化计算,以使汽车能够实时响应并响应适当的运动。此外,鉴于此8位MCU(微控制器单元)的计算能力有限,我们的设计使用了多种计算效率策略,如本文中详细介绍的那样。

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